Honey-12 R1

MikeB · Post by **MikeB** » Sat Oct 03, 2020 5:12 am

Details here...

https://github.com/MichaelB7/Stockfish/ ... /tag/v12r1

Have fun!

Edit: The default bench runs classic, to run NN bench, type "true" as the fourth paranters.
Example below. On the 3970x, it taps out at 110M nps. In classic mode, it taps out at 126M nps., an 87% ratio.

The sources of the new bench positions added are noted in benchmark.cpp

Code: Select all

#  Honey-12-R1-W-AMD.exe b 2048 64 18 true >/dev/null

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FEN: rnbqkbnr/pppppppp/8/8/8/8/PPPPPPPP/RNBQKBNR w KQkq - 0 1
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NN evaluation using eval.bin enabled.

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FEN: r3k2r/p1ppqpb1/bn2pnp1/3PN3/1p2P3/2N2Q1p/PPPBBPPP/R3K2R w KQkq - 0 10
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NN evaluation using eval.bin enabled.

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FEN: 4rrk1/pp1n3p/3q2pQ/2p1pb2/2PP4/2P3N1/P2B2PP/4RRK1 b - - 7 19
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NN evaluation using eval.bin enabled.

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FEN: rq3rk1/ppp2ppp/1bnpN3/3N2B1/4P3/7P/PPPQ1PP1/2KR3R b - - 0 14
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NN evaluation using eval.bin enabled.

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FEN: r3r1k1/2p2ppp/p1p1bn2/8/1q2P3/2NPQN2/PPP3PP/R4RK1 b - - 2 15
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NN evaluation using eval.bin enabled.

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FEN: r1bbk1nr/pp3p1p/2n5/1N4p1/2Np1B2/8/PPP2PPP/2KR1B1R w kq - 0 13
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NN evaluation using eval.bin enabled.

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FEN: r1bq1rk1/ppp1nppp/4n3/3p3Q/3P4/1BP1B3/PP1N2PP/R4RK1 w - - 1 16
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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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FEN: 8/1p2KP2/1p4q1/1Pp5/2P5/N1Pp1k2/3P4/1N6 b - - 76 40
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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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NN evaluation using eval.bin enabled.

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=================================
Total time (ms) : 18425
Nodes searched  : 2031575987

Nodes/second    : 110261k

Andrew · Post by **Andrew** » Sat Oct 03, 2020 6:27 am

Great news, thanks for this release! Have you heard any news if the SF team or others plan to train additional networks?
My thoughts are that having one for KP endings and one for KRP endings could be useful given how common they are. Only
question is the appropriate size, would you need 10 Mb plus or would something much smaller be sufficient?

I'd also like to know how "Oki Maguro" differs from the other versions

Andrew

abgursu · Post by **abgursu** » Sat Oct 03, 2020 6:28 am

Hi,
When I tried to compile it required 4m package for this. What is 4m and how can I install it using pp?
Thanks:)

MikeB · Post by **MikeB** » Sat Oct 03, 2020 8:07 am

abgursu wrote: ↑Sat Oct 03, 2020 6:28 am Hi,
When I tried to compile it required 4m package for this. What is 4m and how can I install it using pp?
Thanks:)

Unzip the zip file. Github has a 100MB file limit and that header file is over 100MB , but the zip file is not.

MikeB · Post by **MikeB** » Sat Oct 03, 2020 8:20 am

Andrew wrote: ↑Sat Oct 03, 2020 6:27 am Great news, thanks for this release! Have you heard any news if the SF team or others plan to train additional networks?
My thoughts are that having one for KP endings and one for KRP endings could be useful given how common they are. Only
question is the appropriate size, would you need 10 Mb plus or would something much smaller be sufficient?

I'd also like to know how "Oki Maguro" differs from the other versions

Andrew

SF team is constantly working on new networks - but I'm not following that too closely all endings 7 men or less are covered by EGTB , but 8 men and above are currently not feasible for EGTB. I have read that some believe 15 men and less network could be very valuable. All the engines have differences in search , piece values and evaluation function. Black Diamond has the most differences, plays the weakest , but it does well on many puzzle positions that are not solved easily by other engines. Take a look at benchmark.cpp for bench positions that were added recently look for "If 1" , and those positions guarded by that if statement. Black Diamond does very well on some of those. Current NN is based on 100 million positions or so - so it could probably handle 100 million positions for 15 men or less - but that is just conjecture - I really don't know.

BrendanJNorman · Post by **BrendanJNorman** » Sat Oct 03, 2020 8:48 am

Andrew wrote: ↑Sat Oct 03, 2020 6:27 am

I'd also like to know how "Oki Maguro" differs from the other versions

I was wondering about this too. Mike?

Damir · Post by **Damir** » Sat Oct 03, 2020 9:38 am

Oki Maguro is a name for Big ''Tuna'' in Japanese

purechess · Post by **purechess** » Sun Oct 04, 2020 11:16 am

Looks like the Makefile in this release has a bug when compiling for OS X. Using the Makefile from Honey-12 works

make build ARCH=x86-64-modern HONEY=yes

doesn't work

with "arch x86-64" not recognized.

muppetmuppet · Post by **muppetmuppet** » Tue Oct 06, 2020 1:27 pm

Good news my table base issue is totally fixed in this version.

Honey-12 R1

Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1

Re: Honey-12 R1